Contents
What is positional data in GIS?
Positional accuracy is the quantifiable value that represents the positional difference between two geospatial layers or between a geospatial layer and reality. An example of this is the comparison of the location of roads in a feature class versus their location in a TIFF image.
What is the difference between positional accuracy and positional precision?
In order to really understand the relevance of accuracy and precision, we should start getting the difference between both terms: In GIS data, accuracy can be referred to a geographic position, but it can be referred also to attribute, or conceptual accuracy. Precision refers how exact is the description of data.
What’s the difference between precision and accuracy in GIS?
Therefore, when we refer to accuracy, we are talking about quality of data and about number of errors contained in a certain dataset. In GIS data, accuracy can be referred to a geographic position, but it can be referred also to attribute, or conceptual accuracy. Precision refers how exact is the description of data.
Why are there so many quantitative errors in GIS?
Quantitative errors may occur also when using instrument that have not been properly calibrated creating subsequent errors hard to identify in the field, but that will cause your project to lose accuracy and reliability. We also have to pay attention to what has been defined as positional accuracy, whichis dependent on the type of data.
How to calculate positional accuracy with CE / LE values?
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Where can I find a positional accuracy paper?
The only reference I’ve been able to find is this paper from ASPRS: http://www.asprs.org/wp-content/uploads/2015/01/ASPRS_Positional_Accuracy_Standards_Edition1_Version100_November2014.pdf It seems to be focused on sampled accuracy for raster products.